AcaRevival Initiative

Experienced academic misconduct or bullying? We're building a real weapon against it.

Read Manifesto →
LD

Louis J. Durlofsky

Stanford University

No ratings yetBe the first to rate
Loading...

About Louis J. Durlofsky at Stanford University (Stanford)

Louis J. Durlofsky is a researcher based at Stanford University. They specialize in Reservoir Engineering and Simulation Methods, Hydraulic Fracturing and Reservoir Analysis, and Enhanced Oil Recovery Techniques, with ongoing contributions to these areas. Their academic career is distinguished by over 15,750 citations, demonstrating their leading role in the global research community. With a formidable H-index of 68, Louis J. Durlofsky continues to drive innovation in their area of expertise.

Research Areas

Reservoir Engineering and Simulation MethodsHydraulic Fracturing and Reservoir AnalysisEnhanced Oil Recovery TechniquesAdvanced Mathematical Modeling in EngineeringAdvanced Numerical Methods in Computational Mathematics

Academic Impact Matrix

Research output metrics for Louis J. Durlofsky aggregated from public academic databases. Student lab experience data is pending.

Academic data verified · April 2026 · Next sync: May 2026

Research Output

Total Citations15,750

Top 15% in field

Publications321

Highly prolific researcher

h-index68

Field leader

i10-index205

Exceptional breadth

Lab Environment

No lab data yet for Louis J. Durlofsky

+ Contribute First Review
  • Supervisionawaiting data
  • Responsivenessawaiting data
  • Fundingawaiting data
  • Communicationawaiting data
  • Work-Life Balanceawaiting data

Reviews (0)

No reviews yet for this supervisor.

Be the first to share your experience!

Is your PI driving you crazy?

Featured Article

The Sunday Night Dread: Surviving a Micromanaging PhD Supervisor

Real advice from PhD students on recognizing and navigating difficult supervisor relationships

Your experience matters. After reading the guide, share your review to help other PhD students.

Frequently Asked Questions

Not sure how to interpret mixed signals? A structured decision guide can help you think through high-risk supervision choices more clearly. Download the free guide.